The fuzzy optimization dynamic programming technique for multiobjective and multistage series systems is developed by combining fuzzy optimization theory with dynamic programming technique. This is a new method for solving the optimization of multiobjective and multistage problems in chemical systems. Finally
an application to the optimization of a multiple reactor system is given.
Physics-informed spatio-temporal graph convolutional network for fermentation processes
The impact of novel flow channel structure with sudden-expansion ratio on seawater-activated battery
Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance
Hydrolysis reaction mechanism of CNCl on the surface of composite metal CuCr2O4
Corrosion health status assessment method for refining unit pipeline based on GLAE-MLP